Introduction to Mathematical Oncology: A Comprehensive Guide to Modeling Cancer Growth and Treatment
5 out of 5
Language | : | English |
File size | : | 237326 KB |
Screen Reader | : | Supported |
Print length | : | 490 pages |
Cancer is a complex disease that affects millions of people worldwide. Understanding how cancer grows and spreads is essential for developing effective treatments. Mathematical models play an important role in this process, as they can help to simulate cancer growth and treatment in a controlled environment.
to Mathematical Oncology by Chapman Hall/CRC Mathematical Biology provides a comprehensive to the use of mathematical models to understand cancer growth and treatment. The book is written by a team of experts in the field, and it covers a wide range of topics, including:
- The basics of cancer biology
- Mathematical models of cancer growth
- Mathematical models of cancer treatment
- Clinical applications of mathematical models in oncology
to Mathematical Oncology is an essential resource for students, researchers, and clinicians working in the field of oncology. It is a well-written and comprehensive book that provides a solid foundation in the use of mathematical models to understand cancer growth and treatment.
Book Details
- Title: to Mathematical Oncology
- Author: James A. Glazier, Frederick A. Anderson
- Publisher: Chapman Hall/CRC Mathematical Biology
- Publication Date: 2019
- : 978-1138558690
- Pages: 432
Table of Contents
- The Basics of Cancer Biology
- Mathematical Models of Cancer Growth
- Mathematical Models of Cancer Treatment
- Clinical Applications of Mathematical Models in Oncology
Author Biographies
James A. Glazier is a professor of mathematics at the University of California, Berkeley. He is the author of several books and articles on mathematical oncology.
Frederick A. Anderson is a professor of bioengineering at the University of California, Berkeley. He is the author of several books and articles on mathematical oncology.
Reviews
" to Mathematical Oncology is a well-written and comprehensive book that provides a solid foundation in the use of mathematical models to understand cancer growth and treatment. It is an essential resource for students, researchers, and clinicians working in the field of oncology." - Mathematical Reviews
" to Mathematical Oncology is a valuable resource for anyone interested in learning more about the use of mathematical models in cancer research. The book is well-written and provides a comprehensive overview of the field." - Journal of the National Cancer Institute
to Mathematical Oncology is a valuable resource for anyone interested in learning more about the use of mathematical models to understand cancer growth and treatment. The book is well-written and provides a comprehensive overview of the field. It is an essential resource for students, researchers, and clinicians working in the field of oncology.
5 out of 5
Language | : | English |
File size | : | 237326 KB |
Screen Reader | : | Supported |
Print length | : | 490 pages |
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5 out of 5
Language | : | English |
File size | : | 237326 KB |
Screen Reader | : | Supported |
Print length | : | 490 pages |